ISSN2320-2882
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ESTD2013
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Paper Title

GenAI Skill Gap Analyser and personalized learning path recommendation

Authors

M.Vamshi Vardhan , G. Aadhyan , K. Sai Ujwal , A. Dinesh , B. Mohan Raj

Keywords

Artificial Intelligence, Career Recommendation System, Skill Gap Analysis, Personalized Learning, Generative AI, FastAPI, PostgreSQL, Job Recommendation, Resume Analysis, Adaptive Quiz System, Learning Roadmap Generation, Proctoring System, Web-Based Application

Abstract

This paper proposes an intelligent Career Bridge Platform that bridges the gap between academic education and industrial needs by offering personalized skill assessment, learning paths, and career recommendations. The architecture of the platform is composed of a FastAPI backend with PostgreSQL database management for handling users' profile information, job history, and technical knowledge. The proposed framework utilizes Google Gemini (Generative AI) to assess users' skills and knowledge based on resume data, GitHub portfolio, LinkedIn profile, and eLearning records. From the assessment results, the Career Bridge Platform offers adaptive technical quizzes and constructs a personalized learning roadmap consisting of Foundation, Intermediate, and Advanced stages. The framework also incorporates the use of Adzuna Job Search API to offer users real-time job recommendations based on their domain, competencies, and learning roadmap topics. A mixed job matching method that employs both keyword matching rules and generative AI models to assign scores to candidates enhances the accuracy of job recommendation. Some of the other innovative capabilities of this platform include project-based learning, follow-up quiz , performance analytics, and remote proctoring.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJCRT — journal style
"GenAI Skill Gap Analyser and personalized learning path recommendation", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 4, page no.h311-h321, April 2026, Available :https://ijcrt.org/papers/IJCRT2604855.pdf
APA — 7th edition
Vardhan, M. V., Aadhyan, G., Ujwal, K. S., Dinesh, A., & Raj, B. M. (2026). GenAI Skill Gap Analyser and personalized learning path recommendation. International Journal of Creative Research Thoughts, 14(4), h311-h321. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604855
MLA — 9th edition
Vardhan, M.Vamshi, et al. "GenAI Skill Gap Analyser and personalized learning path recommendation." International Journal of Creative Research Thoughts, vol. 14, no. 4, 2026, pp. h311-h321, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604855.
Chicago — 17th, bibliography
Vardhan, M.Vamshi, et al. "GenAI Skill Gap Analyser and personalized learning path recommendation." International Journal of Creative Research Thoughts 14, no. 4 (2026): h311-h321. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604855.
Harvard — author–date
Vardhan, M.V. et al. (2026) 'GenAI Skill Gap Analyser and personalized learning path recommendation', International Journal of Creative Research Thoughts, 14(4), pp. h311-h321. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604855
IEEE — numbered reference
M. V. Vardhan, G. Aadhyan, K. S. Ujwal, A. Dinesh and B. M. Raj, "GenAI Skill Gap Analyser and personalized learning path recommendation," IJCRT, vol. 14, no. 4, pp. h311-h321, Apr. 2026.
Vancouver — biomedical
Vardhan MV, Aadhyan G, Ujwal KS, Dinesh A, Raj BM. GenAI Skill Gap Analyser and personalized learning path recommendation. IJCRT. 2026 Apr;14(4):h311-h321.
AMA — 11th edition
Vardhan MV, Aadhyan G, Ujwal KS, Dinesh A, Raj BM. GenAI Skill Gap Analyser and personalized learning path recommendation. IJCRT. 2026;14(4):h311-h321. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604855
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2604855, author = {M.Vamshi Vardhan and G. Aadhyan and K. Sai Ujwal and A. Dinesh and B. Mohan Raj}, title = {GenAI Skill Gap Analyser and personalized learning path recommendation}, journal = {International Journal of Creative Research Thoughts}, volume = {14}, number = {4}, pages = {h311-h321}, year = {2026}, month = {April}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604855} }
RIS — EndNote, RefWorks
TY - JOUR AU - Vardhan, M.Vamshi AU - Aadhyan, G. AU - Ujwal, K. Sai AU - Dinesh, A. AU - Raj, B. Mohan TI - GenAI Skill Gap Analyser and personalized learning path recommendation T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 14 IS - 4 PY - 2026 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604855 SP - h311-h321 ER -

Issue

Volume 14 Issue 4, April-2026
Pages : h311-h321

Article Information

Pages
h311-h321
Published
April 2026
Registration ID
IJCRT_305925
Published Paper ID
IJCRT2604855
Research Area
Science and Technology
Author Type
Indian Author
Location
hyderabad, Telangana, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
214

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International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
9.17 Impact Factor
2013 ESTD Year
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Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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Licence

© 2026 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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